Experiment of Branch Point Identification Considering Driver’s Information use of Road Sign

Abstract

There are few studies on the methods to quantitatively estimate guidance effects by road information signs. Therefore, in previous researches, we have been developing a model in which the driver travels based on the guide sign information that appears on the planned route to the destination. In this research, we investigated the actual condition of the information use of the drivers, and constructed three types of driver’s inferring models which are “comprehensive type”, “sign dependent type” and “distance dependent type” considering the information use characteristic of the drivers. And based on the driving experiment using driving video image, the inferring models were verified on how they exactly estimate the rate of identification on the branch point by the drivers. And it was confirmed that the inferring model has sufficient accuracy with respect to two classifications of " branch in front or just branch point " and "pass the branch point".